Your codebase is too big to paste in. Here's how to handle that.
📡
Context manager → pipeline architect
🎯 WHAT CHANGES BY THE END
You'll have a RAG pipeline on a real dataset and at least one structured-output workflow. Both will be in code you can modify, not a vendor platform you can't inspect.
🙋 THIS IS YOU IF
✓You're hitting context limits on large codebases or document-heavy tasks
✓Your pipeline outputs need to feed a database or another system, and free text doesn't work
✓You've tried stuffing entire files into context and watched output quality degrade
✓You're building an agent that needs to search across more than fits in one window
💡 WHAT WE'LL UNTANGLE
You're loading entire files or repos into context when only a section is relevant
Model outputs are unpredictable formats. You're parsing strings when you should have schemas
You don't know why retrieval is returning irrelevant results. No visibility into chunk quality
Every pipeline consumer is writing its own output parser